---
tags:
- ML-Agents-SnowballTarget
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- unity-ml-agents
model-index:
- name: ppo-SnowballTarget
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: ML-Agents-SnowballTarget
      type: ML-Agents-SnowballTarget
    metrics:
    - type: mean_reward
      value: 25.00 +/- 3.00
      name: mean_reward
      verified: false
---

# PPO Agent playing SnowballTarget (Unity ML-Agents)

This is a trained model of an agent playing **ML-Agents-SnowballTarget** using the **ml-agents** library as part of the [Hugging Face Deep Reinforcement Learning Course](https://huggingface.co/deep-rl-course/en/unit0/introduction).

- **Environment**: ML-Agents-SnowballTarget
- **Library**: ml-agents
- **Mean Reward**: 25.00 +/- 3.00
- **Student**: plpanjali05

## Usage

```python
# To load this model, refer to the corresponding unit notebook in the Hugging Face Deep RL Course.
```